AI Product Engineering Leader

EY; Orlando (FL); Híbrido; USD 126.000 - 230.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical and dental coverage

401(k) plan

Flexible vacation policy

Paid time off

Descripción de la vacante

EY seeks an experienced engineer to turn emerging AI capabilities into durable products. You’ll be an end-to-end builder, close to users and production code, connecting ideas from an AI demonstration to a secure service.

The role rewards founder-like ownership with disciplined testing, accessibility, and maintainability across the product cycle. You’ll work within Challenger to build shared technology, patterns, and guardrails, delivering reusable components and evaluation assets while ensuring

Formación

• Proven ability to build production software across frontend, backend, API, data and integrations.
• Hands-on experience with model APIs, context design, retrieval, tools or AI patterns.
• Strong product judgment to identify real user problems and simplify solutions.
• Experience designing automated tests and evaluating non-deterministic systems.
• Ownership for telemetry, reliability, incident response and performance improvements.
• Ability to collaborate across product, design, domain, platform and control teams.

Responsabilidades

• Start with the user. Work directly with users and domain experts to understand real workflows, observe friction, and identify where AI can create distinctive value.
• Test assumptions quickly. Turn product hypotheses into concise specifications, prototypes, and small releases that generate useful evidence early.
• Own complete product slices. Build coherent verticals across the experience, services, data, AI behavior, and enterprise integrations rather than optimizing a single layer.
• Shape AI behavior. Design instructions, context, retrieval, structured outputs, and tool use, choosing adaptation or tuning only when evidence supports it.
• Build the evidence system. Create representative tasks and automated evaluations that show whether the product is useful, correct, safe, accessible, and improving.
• Connect outcomes to behavior. Instrument user journeys so the team can relate adoption and task success to system behavior, latency, failures, and cost.
• Engineer for responsible use. Build clear permission boundaries, secure data handling, human checkpoints, graceful degradation, recovery, and rollback into the experience.
• Own production quality. Release incrementally, monitor live behavior, respond to incidents, and turn failures into durable product and engineering improvements.
• Make practical trade-offs. Balance experience, quality, speed, reliability, and cost, using deterministic software when it is the more dependable choice.
• Contribute reusable patterns. Share proven components and evaluation assets with the broader platform while remaining accountable for their performance in the product workflow.

Conocimientos

Full-stack engineering

AI application depth

Product judgment

Evaluation discipline

Production ownership

High-agency collaboration

Educación

Bachelor’s Degree

Descripción del empleo

EY seeks an experienced engineer to turn emerging AI capabilities into durable products. You’ll be an end-to-end builder, close to users and production code, connecting ideas from an AI demonstration to a secure service.

The role rewards founder-like ownership with disciplined testing, accessibility, and maintainability across the product cycle. You’ll work within Challenger to build shared technology, patterns, and guardrails, delivering reusable components and evaluation assets while ensuring